Data Analysis Technology That Actually Works
We build custom data analysis programs using proven technologies that Swiss businesses rely on. Our solutions handle real data challenges — from messy spreadsheets to complex analytics dashboards.
Discuss Your Project
Our Technology Foundation
We work with established, reliable technologies that deliver consistent results for data analysis projects.
Python & R Analytics
Statistical computing and data science libraries including pandas, NumPy, scikit-learn, and ggplot2. Perfect for complex calculations and predictive modeling that businesses actually need.
Database Integration
PostgreSQL, MySQL, and SQL Server connections. We also work with cloud databases like Amazon RDS and Google Cloud SQL for scalable data storage solutions.
Visualization Frameworks
Tableau, Power BI, and custom dashboard development using D3.js and Plotly. Charts and graphs that make sense to your team and stakeholders.
Cloud Platforms
AWS, Google Cloud, and Azure deployment options. Secure hosting with proper backup systems and data protection compliance for Swiss privacy standards.
API Development
REST and GraphQL APIs using Node.js, Flask, and FastAPI. Connect your data analysis tools with existing business systems and third-party applications.
Real-time Processing
Apache Kafka, Redis, and WebSocket implementations for live data feeds. Monitor business metrics as they happen, not hours later.
Custom Programs Built for Swiss Business Needs
We don't use template solutions. Every data analysis program we develop addresses specific business challenges with technology choices that make sense for your situation.
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Financial Data Processing
Handle Swiss accounting standards, VAT calculations, and multi-currency transactions. Built-in compliance features for local reporting requirements.
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Supply Chain Analytics
Track inventory across multiple locations, forecast demand patterns, and identify bottlenecks before they impact operations.
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Customer Behavior Analysis
Understand purchasing patterns, segment customers effectively, and predict churn risk using machine learning algorithms.
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Performance Monitoring
Real-time dashboards for KPIs that matter to your business. Automated alerts when metrics fall outside expected ranges.
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Regulatory Reporting
Automated generation of compliance reports for Swiss regulatory bodies. Reduce manual work and eliminate reporting errors.
Last month, we completed a logistics optimization system for a Zurich-based distributor. The custom algorithm reduced route planning time from 4 hours to 15 minutes while cutting fuel costs by 18%.
Technology Approach
We start with your data infrastructure and business processes. Then we select technologies that integrate smoothly with your existing systems.
Marina Hoffmann
Lead Data Engineer
Why Our Technology Choices Matter
I've been building data analysis systems for Swiss companies since 2018. The biggest lesson? Technology needs to solve actual problems, not create new ones.
When a Basel manufacturing client asked us to analyze production efficiency, we could have recommended the latest AI platform. Instead, we built a straightforward Python application that connected to their existing ERP system. Total development time: 6 weeks. Result: 23% improvement in throughput identification.
"The best technology is the one your team can understand and maintain after we finish the project."
That's why we focus on proven, well-documented technologies. Your staff can learn to modify reports, add new data sources, and troubleshoot issues without calling us every time.
We also prioritize data security from the start. Every program includes encryption, access controls, and audit logging. Swiss privacy laws aren't optional — they're built into our development process.
Currently, we're working on three projects: a predictive maintenance system for industrial equipment, a customer lifetime value calculator for retail, and a risk assessment tool for financial services. Each uses different technology combinations because each solves different problems.
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